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Pictogram Generator from Korean Sentences using Emoticon and Saliency Map

Published: 21 October 2015 Publication History

Abstract

Picture is worth a thousand words. With changing life styles and technology advancement, visual or pictorial communication is preferred. We present a system to generate a pictogram for simple Korean sentences. The final pictogram integrates information about the object (about which something is said), the background (the environment) and the emotion of the user. The proposed system is divided into two parts. First is the registration part, which saves personal information and face image of the user. The second part searches corresponding images for words, downloads them and finally integrates all of them together to along with user's emotion to generate a single pictogram.

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Cited By

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  • (2022)VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social CommunicationProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501940(1-17)Online publication date: 29-Apr-2022

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  1. Pictogram Generator from Korean Sentences using Emoticon and Saliency Map

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    HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction
    October 2015
    254 pages
    ISBN:9781450335270
    DOI:10.1145/2814940
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    • BESK: Brain Engineering Society of Korea

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 October 2015

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    Author Tags

    1. emoticon
    2. image processing
    3. pictogram

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    • Research-article

    Funding Sources

    • This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and future Planning(2013R1A2A2A01068687)

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    HAI 2015
    Sponsor:
    • BESK
    HAI 2015: The Third International Conference on Human-Agent Interaction
    October 21 - 24, 2015
    Kyungpook, Daegu, Republic of Korea

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    Overall Acceptance Rate 121 of 404 submissions, 30%

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    • (2022)VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social CommunicationProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501940(1-17)Online publication date: 29-Apr-2022

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